Leonard Salewski
Leonard Salewski is a Ph.D. candidate in the International Max-Planck Research School for Intelligent Systems (IMPRS-IS) under the joint supervision of Prof. Zeynep Akata and Prof. Hendrik Lensch.
Leonard Salewski | |
Phone | +49 (0)7071 29-60070794 |
Address | Department of Computer Science Maria-von-Linden-Str. 6 72076 Tübingen, Germany |
Room | 40-7/A18 |
Publications
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language.
In-Context Impersonation Reveals Large Language Models' Strengths and Biases.
Diverse Video Captioning by Adaptive Spatio-temporal Attention.
CLEVR-X: A visual reasoning dataset for natural language explanations.
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.
Relational Generalized Few-Shot Learning.
For up-to-date information please also check: Semantic Scholar or Google Scholar. |
Research interests
- Natural Language Explanations for Computer Vision Problems
- Properties of Large Language Models
- Deep learning for vision-language tasks
Additionally I am working on scholarGPT, an academic chatbot, that does not hallucinate its sources, but instead gives reliable and traceable answers based on >2.25M arXiv pre-prints. Further applications for scholarGPT, can be found in law, journalism and education.
Reviewing
- TPAMI 2021 / 2023
- MULA 2022
- CVPR 2023 (Emergency)
- IJCV 2023 (2x)
- BMVC 2023 (Emergency)
Supervision
Master Thesis
- Using large pre-trained language models for audio captioning, Stefan Fauth, July 2023, supervised with Dr. A. Sophia Koepke and Prof. Zeynep Akata
- Infilling of Structured Documents through Causally Masked Language Modelling, Jan Quintus, Jan 2023, supervised with Prof. Hendrik P. A. Lensch